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Computational Science – ICCS 2021 [[electronic resource] ] : 21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part V / / edited by Maciej Paszynski, Dieter Kranzlmüller, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M.A. Sloot
| Computational Science – ICCS 2021 [[electronic resource] ] : 21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part V / / edited by Maciej Paszynski, Dieter Kranzlmüller, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M.A. Sloot |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (XIX, 592 p. 265 illus., 232 illus. in color.) |
| Disciplina | 004 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer science
Artificial intelligence Computer science - Mathematics Computer engineering Computer networks Computer vision Theory of Computation Artificial Intelligence Mathematics of Computing Computer Engineering and Networks Computer Vision |
| ISBN | 3-030-77977-7 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Computer Graphics, Image Processing and Artificial Intelligence -- Factors affecting the sense of scale in immersive, realistic Virtual Reality space -- Capsule Network versus Convolutional Neural Network in Image Classification Comparative Analysis -- State-of-the-art in 3D face reconstruction from a single RGB image -- Towards understanding time varying triangle meshes -- Semantic similarity metric learning for sketch-based 3D shape retrieval -- ScatterPlotAnalyzer: Digitizing Images of Charts Using Tensor-based Computational Model -- EEG-Based Emotion Recognition Using Convolutional Neural Networks -- Improving Deep Object Detection Backbone with Feature Layers -- Procedural Level Generation with Difficulty Level Estimation for Puzzle Games -- ELSA: Euler-Lagrange Skeletal Animations - novel and fast motion model applicable to VR/AR devices -- Composite generalized elliptic curve-based surface reconstruction -- Supporting Driver Physical State Estimation by Means of Thermal Image Processing -- Smart Events in Behavior of Non-player characters in Computer Games -- Place Inference via Graph-based One-class Decisions on Deep Embeddings and Blur Detections -- Football Players Movement Analysis in Panning Videos -- Shape reconstruction from point clouds using closed form solution of a fourth-order partial differential equation -- Data-Driven Computational Sciences -- Addressing Missing Data in a Healthcare Dataset Using an Improved kNN Algorithm -- Improving Wildfire Simulations by Estimation of Wildfire Wind Conditions from Fire Perimeter Measurements -- Scalable Statistical Inference of Photometric Redshift via Data Subsampling -- Timeseries based deep hybrid transfer learning framework: A case of electrical vehicle energy consumption -- Hybrid machine learning for time-series energy data for enhancing energy efficiency in buildings -- I-80 Closures: An Autonomous Machine Learning Approach -- Energy Consumption Prediction for Multi-functional Buildings Using Convolutional Bidirectional Recurrent Neural Networks -- Machine Learning and Data Assimilation for Dynamical Systems -- Deep Learning for Solar Irradiance Nowcasting: A Comparison of a Recurrent Neural Network and Two Traditional Methods -- Automatic-differentiated Physics-Informed Echo State Network (API-ESN) -- A machine learning method for parameter estimation and sensitivity analysis -- Auto-Encoded Reservoir Computing for Turbulence Learning -- Low-dimensional Decompositions for Nonlinear Finite Impulse Response Modeling -- Latent GAN: using a latent space-based GAN for rapid forecasting of CFD models -- Data Assimilation in the Latent Space of a Convolutional Autoencoder -- Higher-order hierarchical spectral clustering for multidimensional data -- Towards data-driven simulation models for building energy management -- Data Assimilation using Heteroscedastic Bayesian Neural Network Ensembles for Reduced-Order Flame Models -- A GPU algorithm for outliers detection in TESS light curves -- Data-driven deep learning emulators for geophysical forecasting -- NVIDIA SimNet: An AI-Accelerated Multi-Physics Simulation Framework -- MeshFree Methods and Radial Basis Functions in Computational Sciences -- Analysis of vortex induced vibration of a thermowell by high fidelity FSI numerical analysis based on RBF structural modes embedding -- Automatic Optimization Method based on mesh morphing surface sculpting driven by Biological Growth Method: an application to the Coiled Spring section shape -- Multiscale Modelling and Simulation -- Verification, Validation and Uncertainty Quantification of large-scale applications with QCG-PilotJob -- Towards a coupled migration and weather simulation: South Sudan conflict -- Evaluating WRF-BEP/BEM performance: on the way to analyze urban air quality at high resolution using WRF-Chem+BEP/BEM -- Pathology dynamics in healthy-toxic protein interaction and the multiscale analysis of neurodegenerative diseases -- A Semi-implicit Backward Differentiation ADI Method for Solving Monodomain Model -- A Deep Learning Approach for Polycrystalline Microstructure-Statistical Property Prediction -- MsFEM upscaling for the coupled thermo-mechanical problem -- MaMiCo: Non-Local Means Filtering with Flexible Data-Flow for Coupling MD and CFD. |
| Record Nr. | UNISA-996464408903316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Computational Science – ICCS 2021 [[electronic resource] ] : 21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part VI / / edited by Maciej Paszynski, Dieter Kranzlmüller, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot
| Computational Science – ICCS 2021 [[electronic resource] ] : 21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part VI / / edited by Maciej Paszynski, Dieter Kranzlmüller, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (XIX, 714 p. 58 illus.) |
| Disciplina | 004 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer science
Computer science - Mathematics Computer engineering Computer networks Artificial intelligence Theory of Computation Mathematics of Computing Computer Engineering and Networks Artificial Intelligence |
| ISBN | 3-030-77980-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Quantum Computing Workshop -- Implementing Quantum Finite Automata Algorithms on Noisy Devices -- OnCall Operator Scheduling for Satellites with Grover’s Algorithm -- Multimodal Container Planning: a QUBO Formulation and Implementation on a Quantum Annealer -- Portfolio Optimisation Using the D-Wave Quantum Annealer -- Cross Entropy Optimization of Constrained Problem Hamiltonians for Quantum Annealing -- Classification using a two-qubit quantum chip -- Performance Analysis of Support Vector Machine Implementations on the D-Wave Quantum Annealer -- Adiabatic Quantum Feature Selection for Sparse Linear Regression -- EntDetector: entanglement detecting toolbox for bipartite quantum states -- On Decision Support for Quantum Application Developers: Categorization, Comparison, and Analysis of Existing Technologies -- Quantum Asymmetric Encryption Based on Quantum Point Obfuscation -- Index calculus method for solving elliptic curve discrete logarithm problem using quantum annealing -- Simulations of Flow and Transport: Modeling, Algorithms and Computation -- Multi-phase compressible compositional simulations with phase equilibrium computation in the VTN specification -- A three-level linearized time integration scheme for tumor simulations with Cahn-Hilliard equations -- Poroelasticity Modules for DarcyLite -- Mathematical Modeling of the Single-Phase Multicomponent Flow in Porous Media -- An enhanced finite element algorithm for thermal Darcy flows with variable viscosity -- Multilevel adaptive Lagrange-Galerkin methods for unsteady incompressible viscous flows -- Numerical investigation of transport processes in porous media under laminar, transitional and turbulent flow conditions with the lattice-Boltzmann method -- A Study on a Marine Reservoir and a Fluvial Reservoir History Matching Based on Ensemble Kalman Filter -- Numerical Simulation of Free Surface Affected by Submarine with a Rotating Screw Moving Underwater -- Modeling and Simulation of Atmospheric Water Generation Unit Using Anhydrous Salts -- Smart Systems: Bringing Together Computer Vision, Sensor Networks and Machine Learning -- Improving UWB Indoor Localization Accuracy Using Sparse Fingerprinting and Transfer Learning -- Effective Car Collision Detection with Mobile Phone Only -- Corrosion detection on aircraft fuselage with multi-teacher knowledge distillation -- Warm-Start Meta-Ensembles for Forecasting Energy Consumption in Service Buildings -- Supporting the process of sewer pipes inspection using machine learning on embedded devices -- Explanation-driven model stacking -- Software Engineering for Computational Science -- I/O Associations in Scientific Software: A Study of SWMM -- Understanding Equity, Diversity and Inclusivity Challenges Within the Research Software Community -- Solving Problems with Uncertainty -- The Necessity and Difficulty of Navigating Uncertainty to Develop an Individual-Level Computational Model -- Predicting Soccer Results through Sentiment Analysis: A Graph Theory Approach -- Advantages of interval modification of NURBS curves in modeling uncertain boundary shape in boundary value problems -- Introducing Uncertainty Into Explanaible AI Methods -- New rank-reversal free approach to handle interval data in MCDA problems -- Vector and triangular representations of project estimation uncertainty: effect of gender on usability -- The use of type-2 fuzzy sets to assess delays in the implementation of the daily operation plan for the operating theatre -- Linguistic Summaries using Interval-valued Fuzzy Representation of Imprecise Information - an Innovative Tool for Detecting Outliers -- Combining heterogeneous indicators by adopting Adaptive MCDA: dealing with Uncertainty -- Solutions and Challenges in Computing FBSDEs with Large Jumps for Dam and Reservoir System Operation -- Optimization of Resources Allocation in High Performance Computing under Utilization Uncertainty -- A comparison of the Richardson extrapolation and the approximation error estimation on the ensemble of numerical solutions -- Predicted Distribution Density Estimation for Streaming Data -- LSTM processing of experimental time series with varied quality -- Sampling method for the robust single machine scheduling with uncertain parameters -- Teaching Computational Science -- Biophysical Modeling of Excitable Cells - a new Approach to Undergraduate Computational Biology Curriculum Development -- Increasing the impact of teacher presence in online lectures -- Model-based approach to automated provisioning of collaborative educational services -- A collaborative peer review process for grading coding assignments in coursework -- How Do Teams of Novice Modelers Choose An Approach? An Iterated, Repeated Experiment In A First-Year Modeling Course -- Uncertainty Quantification for Computational Models -- Detection of conditional dependence between multiple variables using multiinformation -- Uncertainty Quantification of Coupled 1D Arterial Blood Flow and 3D Tissue Perfusion Models Using the INSIST Framework -- Second Order Moments of Multivariate Hermite Polynomials. |
| Record Nr. | UNISA-996464437903316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Computational Science – ICCS 2021 [[electronic resource] ] : 21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part IV / / edited by Maciej Paszynski, Dieter Kranzlmüller, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M.A. Sloot
| Computational Science – ICCS 2021 [[electronic resource] ] : 21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part IV / / edited by Maciej Paszynski, Dieter Kranzlmüller, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M.A. Sloot |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (XIX, 656 p. 301 illus., 211 illus. in color.) |
| Disciplina | 004 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer science
Artificial intelligence Computer engineering Computer networks Computer science - Mathematics Theory of Computation Artificial Intelligence Computer Engineering and Networks Mathematics of Computing |
| ISBN | 3-030-77970-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Computational Methods for Emerging Problems in (dis-)Information Analysis -- The Methods and Approaches of Explainable Artificial Intelligence -- Fake or real? The novel approach to detect online disinformation based on multi ML classifiers -- Transformer Based Models in Fake News Detection -- Towards Model-Agnostic Ensemble Explanations -- Computational Methods in Smart Agriculture -- Bluetooth Low Energy Livestock Positioning for Smart Farming Applications -- Monitoring the Uniformity of Fish Feeding Based on Image Feature Analysis -- A new multi-objective approach to optimize irrigation using a crop simulation model and weather history -- Computational Optimization, Modelling and Simulation -- Expedited Trust-Region-Based Design Closure of Antennas by Variable-Resolution EM Simulations -- Optimum Design of Tuned Mass Dampers for Adjacent Structures via Flower Pollination Algorithm -- On Fast Multi-Objective Optimization of Antenna Structures Using Pareto Front Triangulation and Inverse Surrogates -- Optimizations of a Generic Holographic Projection Model for GPU’s -- Similarity and Conformity Graphs in Lighting Optimization and Assessment -- Pruned simulation-based optimal sailboat path search using micro HPC systems -- Two stage approach to optimize electricity contract capacity problem for commercial customers -- Improved Design Closure of Compact Microwave Circuits by Means of Performance Requirement Adaptation -- Graph-grammar based longest-edge refinement algorithm for three-dimensional optimally p refined meshes with tetrahedral elements -- Elitism in Multiobjective Hierarchical Strategy -- Modelling and forecasting based on recurrent pseudoinverse matrices -- Semi-analytical Monte Carlo optimisation method applied to the inverse Poisson problem -- Modeling the contribution of agriculture towards soil nitrogen surplus in Iowa -- An Attempt to Replace System Dynamics with Discrete Rate Modeling in Demographic Simulations -- New On-Line Algorithms for Modelling, Identification and Simulation of Dynamic Systems Using Modulating Functions and Non-Asymptotic State Estimators: Case Study for a Chosen Physical Process -- Iterative global sensitivity analysis algorithm with neural network surrogate modeling -- Forecasting Electricity Prices: Autoregressive Hybrid Nearest Neighbors (ARHNN) method -- Data-Driven Methods for Weather Forecast -- Generic Case of Leap-Frog Algorithm for Optimal Knots Selection in Fitting Reduced Data -- Intelligent Planning of Logistic Networks to Counteract Uncertainty Propagation -- Modeling traffic forecasts with probability in DWDM optical networks -- Endogenous factors affecting the cost of large-scale geo-stationary satellite systems -- Description of electricity consumption by using leading hours intra-day model -- The problem of tasks scheduling with due dates in a flexible multi-machine production cell -- Discovering the influence of interruptions in cycling training: A data science study -- Analysis of complex partial seizure using non-linear duffing Van der Pol oscillator model -- Computational Science in IoT and Smart Systems -- A Review on Visual Programming for Distributed Computation in IoT -- Data preprocessing, aggregation and clustering for agile manufacturing based on Automated Guided Vehicles -- Comparison of Speech Recognition and Natural Language Understanding Frameworks for Detection of Dangers with Smart Wearables -- A Decision Support System Based on Augmented Reality for the Safe Preparation of Chemotherapy Drugs -- Metagenomic analysis at the edge with Jetson Xavier NX -- Programming IoT-spaces: A User-Survey on Home Automation Rules -- Application of the Ant Colony algorithm for routing in next generation programmable networks -- Scalable Computing System with Two-Level Reconfiguration of Multi-Channel Inter-Node communication -- Real-time Object Detection for Smart Connected Worker in 3D printing -- Object-Oriented Internet - Cloud Interoperability -- Static and Dynamic Comparison of Pozyx and DecaWave UWB Indoor Localization Systems with Possible Improvements -- Challenges associated with sensors and data fusion for AGV-driven smart manufacturing -- Dynamic pricing and discounts by means of interactive presentation systems in stationary point of sales -- Profile-driven synthetic trajectories generation to enhance smart systems solutions -- Augmenting automatic clustering with expert knowledge and explanations -- Renewable energy-aware heuristic algorithms for edge server selection for stream data processing -- Dataset for anomalies detection in 3D printing. |
| Record Nr. | UNISA-996464407903316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Computational Science – ICCS 2021 [[electronic resource] ] : 21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part III / / edited by Maciej Paszynski, Dieter Kranzlmüller, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M.A. Sloot
| Computational Science – ICCS 2021 [[electronic resource] ] : 21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part III / / edited by Maciej Paszynski, Dieter Kranzlmüller, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M.A. Sloot |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (XX, 745 p. 212 illus., 159 illus. in color.) |
| Disciplina | 004 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer science
Artificial intelligence Computer engineering Computer networks Computer science - Mathematics Theory of Computation Artificial Intelligence Computer Engineering and Networks Mathematics of Computing |
| ISBN | 3-030-77967-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Classifier Learning from Difficult Data -- Soft Confusion Matrix Classifier for Stream Classification -- Some proposal of the high dimensional PU learning classification procedure -- Classifying Functional Data from Orthogonal Projections – model, properties and fast implementation -- Clustering and Weighted Scoring Algorithm Based on Estimating the Number of Clusters -- Exact Searching for the Smallest Deterministic Automaton -- Learning Invariance in Deep Neural Networks -- Mimicking learning for 1-NN classifiers -- Application of Multi-Objective Optimization to Feature Selection for a Difficult Data Classification Task -- Deep Embedding Features for Action Recognition on Raw Depth Maps -- Analysis of variance application in the construction of classifier ensemble based on optimal feature subset for the task of supporting glaucoma diagnosis -- Multi-objective evolutionary undersampling algorithm for imbalanced data classification -- Missing value imputation method using separate features nearest neighbors algorithm -- On Validity of Extreme Value Theory-Based Parametric Models for Out-of-Distribution Detection -- Clustering-based Ensemble Pruning in the Imbalanced Data Classification -- Improvement of random undersampling to avoid excessive removal of points from a given area of the majority class -- Predictability Classes for Forecasting Bank Clients Behavior by Transactional Data -- A Non-Intrusive Machine Learning Solution for Malware Detection and Data Theft Classification in Smartphones -- Analysis of Semestral Progress in Higher Technical Education with HMM Models -- Vicinity-based Abstraction: VA-DGCNN Architecture for Noisy 3D Indoor Object Classification -- Grid-Based Concise Hash for Solar Images -- Machine learning algorithms for conversion of CVSS base score from 2.0 to 3.x -- Applicability of Machine Learning to Short-Term Prediction of Changes in the Low Voltage Electricity Distribution Network -- Computational Analysis of Complex Social Systems -- A Model for Urban Social Networks -- Three-state opinion q-voter model with bounded confidence -- The evolution of political views within the model with two binary opinions -- How to reach consensus? Better disagree with your neighbor -- Efficient calibration of a financial agent-based model using the method of simulated moments -- Computational Collective Intelligence -- A Method for Improving Word Representation Using Synonym Information -- Fast Approximate String Search for Wikification -- ASH: A New Tool for Automated and Full-Text Search in Systematic Literature Reviews -- A Voice-based Travel Recommendation System Using Linked Open Data -- Learning from Imbalanced Data Streams based on Over-Sampling and Instance Selection -- Computational Intelligence Techniques for Assessing Data Quality: Towards Knowledge-Driven Processing -- The Power of a Collective: Team of Agents Solving Instances of the Flow Shop and Job Shop Problems -- Bagging and single decision tree approaches to dispersed data -- An Intelligent Social Collective with Facebook-based Communication -- Multi-Agent Spatial SIR-Based Modeling and Simulation of Infection Spread Management -- Multi-Criteria Seed Selection for Targeted In uence Maximization within Social Networks -- How Attachment to your Primary Caregiver Influences your First Adult Relationship: An Adaptive Network Model of Attachment Theory -- Computational Health -- Hybrid Predictive Modelling for Finding Optimal Multipurpose Multicomponent Therapy -- Towards cost-effective treatment of periprosthetic joint infection: from statistical analysis to Markov models -- Optimization of Selection of Tests in Diagnosing the Patient by General Practitioner -- Simulation of Burnout Processes by a Multi-Order Adaptive Network Model -- Reversed Correlation-Based Pairwised EEG Channel Selection in Emotional State Recognition -- Theory of Mind Helps to Predict Neurodegenerative Processes in Parkinson’s Disease -- Regaining Cognitive Control: An Adaptive Computational Model Involving Neural Correlates of Stress, Control and Intervention -- MAM: A Metaphor-based Approach for Mental Illness Detection -- Feature Engineering with Process Mining Technique for Patient State Predictions -- Comparative Evaluation of Lung Cancer CT Image Synthesis with Generative Adversarial Networks -- Deep convolutional neural networks in application to kidney segmentation in the DCE-MR images -- Comparison of Efficiency, Stability and Interpretability of Feature Selection Methods for Multiclassification Task on Medical Tabular Data -- Side effect alerts generation from EHR in Polish -- des-ist: a simulation framework to streamline event-based in silico trials -- Identifying Synergistic Interventions to Address COVID-19 Using a Large Scale Agent-Based Model -- Modeling co-circulation of influenza strains in heterogeneous urban populations: the role of herd immunity and uncertainty factors -- Two-Way Coupling Between 1D Blood Flow and 3D Tissue Perfusion Models -- Applying DCT combined cepstrum for the assessment of the arteriovenous fistula condition -- Electrocardiogram Quality Assessment with Autoencoder -- Stenosis assessment via volumetric flow rate calculation -- Fuzzy ontology for patient emergency department triage -- Ontology-based decision support system for dietary recommendations for type 2 diabetes mellitus. |
| Record Nr. | UNISA-996464403303316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Computational Science – ICCS 2021 [[electronic resource] ] : 21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part I / / edited by Maciej Paszynski, Dieter Kranzlmüller, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot
| Computational Science – ICCS 2021 [[electronic resource] ] : 21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part I / / edited by Maciej Paszynski, Dieter Kranzlmüller, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (XX, 797 p. 294 illus., 232 illus. in color.) |
| Disciplina | 004 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer science
Artificial intelligence Computer engineering Computer networks Computer science - Mathematics Computer vision Theory of Computation Artificial Intelligence Computer Engineering and Networks Mathematics of Computing Computer Vision |
| ISBN | 3-030-77961-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | ICCS Main Track -- Smoothing Speed Variability in Age-Friendly Urban Traffic Management -- An innovative employment of NetLogo AIDS model in developing a new chain coding mechanism for compression -- Simulation modeling of epidemic risk in supermarkets: Investigating the impact of social distancing and checkout zone design -- A multi-cell cellular automata model of traffic flow with emergency vehicles: effect of a corridor of life -- HSLF: HTTP Header Sequence based LSH fingerprints for Application Traffic Classification -- Music genre classification: looking for the Perfect Network -- Big Data for National Security in the Era of COVID-19 -- Efficient prediction of spatio-temporal events on the example of the availability of vehicles rented per minute -- Grouped Multi-Layer Echo State Networks with Self-Normalizing Activations -- SGAIN, WSGAIN-CP and WSGAIN-GP: Novel Gan Methods for Missing Data Imputation -- Deep learning driven self-adaptive hp finite element method -- Machine-Learning Based Prediction of Multiple Types of Network Traffic -- Scalable handwritten text recognition system for lexicographic sources of under-resourced languages and alphabets -- Out-plant milk-run-driven mission planning subject to dynamic changes of date and place delivery -- An Efficient Hybrid Planning Framework for In-Station Train Dispatching -- Evaluating energy-aware scheduling algorithms for I/O-intensive scientific workflows -- A Job Shop Scheduling Problem with Due Dates under Conditions of Uncertainty -- New variants of SDLS algorithm for LABS problem dedicated to GPGPU architectures -- Highly Effective GPU Realization of Discrete Wavelet Transform for Big-Data Problems -- A Dynamic Replication Approach for Monte Carlo Photon Transport on Heterogeneous Architectures -- Scientific workflow management on hybrid clouds with cloud bursting and transparent data access -- Scaling Simulation of Continuous Urban Traffic Model for High Performance Computing System -- A Semi-Supervised Approach for Trajectory Segmentation to Identify Different Moisture Processes in the Atmosphere -- mRelief: A Reward Penalty based Feature SubsetSelection Considering Data Overlapping Problem -- Reconstruction of Long-Lived Particles in LHCb CERN Project by Data Analysis and Computational Intelligence Methods -- Motion Trajectory Grouping for Human Head Gestures Related to Facial Expressions -- DenLAC: Density Levels Aggregation Clustering - A Flexible Clustering Method -- Acceleration of the Robust Newton Method by the use of the S-iteration -- A New Approach to Eliminate Rank Reversal in the MCDA problems -- Validating Optimal COVID-19 Vaccine Distribution Models -- RNACache: Fast Mapping of RNA-Seq Reads to Transcriptomes using MinHashing -- Digital image reduction for analysis of topological changes in pore space during chemical dissolution -- Oil and Gas Reservoirs Parameters Analysis Using Mixed Learning of Bayesian Networks -- Analytic and Numerical Solutions of Space-Time Fractional Diffusion Wave Equations with different Fractional order -- Chebyshev-type rational approximations of the one-way Helmholtz equation for solving a class of wave propagation problems -- Investigating In Situ Reduction via Lagrangian Representations for Cosmology and Seismology Applications -- Revolve-Based Adjoint Checkpointing for Multistage Time Integration -- Comprehensive regularization of PIES for problems modeled by 2D Laplace’s equation -- High Resolution TVD Scheme based on Fuzzy Modifiers for Shallow-Water equations -- PIES for viscoelastic analysis -- Fast and Accurate Determination of Graph Node Connectivity Leveraging Approximate Methods -- An Exact Algorithm for Finite Metric Space Embedding into a Euclidean Space when the Dimension of the Space is not Known -- Resolving Policy Conflicts for Cross-Domain Access Control: A Double Auction Approach -- An Adaptive Network Model for Procrastination Behaviour Including Self-Regulation and Emotion Regulation -- Improved Lower Bounds for the Cyclic Bandwidth Problem -- Co-evolution of Knowledge Diffusion and Absorption: A Simulation-Based Analysis -- Estimation of Road Lighting Power Efficiency Using Graph-Controlled Spatial Data Interpretation -- Embedding alignment methods in dynamic networks -- The OpenPME Problem Solving Environment for Numerical Simulations -- Building a Prototype for Easy to Use Collaborative Immersive Analytics -- Implementation of Auditable Blockchain Voting System with Hyperledger Fabric -- Quantum Data Hub: A Collaborative Data and Analysis Platform for Quantum Material Science -- Hierarchical Analysis of Halo Center in Cosmology -- Fast Click-Through Rate Estimation using Data Aggregates -- A Model for Predicting n-gram Frequency Distribution in Large Corpora -- Exploiting Extensive External Information for Event Detection through Semantic Networks Word Representation and Attention Map -- A New Consistency Coefficient in the Multi-Criteria Decision Analysis Domain -- Predicting the Age of Scientific Papers -- Data Augmentation for Copy-Mechanism in Dialogue State Tracking -- Ensemble Labeling Towards Scientific Information Extraction (ELSIE) -- Error estimation and correction using the forward CENA method -- Monte Carlo Approach to the Computational Capacities Analysis of the Computing Continuum. |
| Record Nr. | UNISA-996464405703316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Computational Science – ICCS 2021 [[electronic resource] ] : 21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part II / / edited by Maciej Paszynski, Dieter Kranzlmüller, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot
| Computational Science – ICCS 2021 [[electronic resource] ] : 21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part II / / edited by Maciej Paszynski, Dieter Kranzlmüller, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (XIX, 596 p. 34 illus.) |
| Disciplina | 004 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer science
Artificial intelligence Computer science - Mathematics Computer engineering Computer networks Computer vision Theory of Computation Artificial Intelligence Mathematics of Computing Computer Engineering and Networks Computer Vision |
| ISBN | 3-030-77964-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Advances in High-Performance Computational Earth Sciences: Applications and Frameworks -- Large-scale stabilized multi-physics earthquake simulation for digital twin -- On the design of Monte-Carlo particle coagulation solver interface: a CPU/GPU Super-Droplet Method case study with PySDM -- Applications of Computational Methods in Artificial Intelligence and Machine Learning -- A Deep Neural Network Based on Stacked Auto-Encoder and Dataset Stratification in Indoor Localization -- Recurrent Autoencoder with Sequence-Aware Encoding -- A Gist Information Guided Neural Network for Abstractive Summarization -- Quality of Recommendations and Cold-start Problem in Recommender Systems based on Multi-Clusters -- Model of the Cold-start Recommender System Based on the Petri-Markov Nets -- Text-Based Product Matching with Incomplete and Inconsistent Items Descriptions -- Unsupervised Text Style Transfer via An Enhanced Operation Pipeline -- Exemplar Guided Latent Pre-trained Dialogue Generation -- Monte Carlo Winning Tickets -- Interpreting Neural Networks Prediction for a Single Instance via Random Forest Feature Contributions -- A Higher-Order Adaptive Network Model to Simulate Development of and Recovery from PTSD -- Trojan Traffic Detection Based on Meta-learning -- Grasp the Key: Towards Fast and Accurate Host-based Intrusion Detection in Data Centers -- MGEL: A Robust Malware Encrypted Traffic Detection Method Based on Ensemble Learning with Multi-Grained Features -- TS-Bert: Time-series Anomaly Detection via Pre-training Model Bert -- Relation order histograms as a network embedding tool -- Desensitization Due to Overstimulation: A Second-Order Adaptive Network Model -- A modified deep Q-network algorithm applied to the evacuation problem -- Human-like Storyteller: A Hierarchical Network with Gated Memory for Visual Storytelling -- Discriminative Bayesian Filtering for the Semi-Supervised Augmentation of Sequential Observation Data -- TSAX is Trending- MultiEmo: Multilingual, Multilevel, Multidomain Sentiment Analysis Corpus of Consumer Reviews -- Artificial Intelligence and High-Performance Computing for Advanced Simulations -- Outlier removal for isogeometric spectral approximation with the optimally-blended quadratures -- Socio-cognitive Evolution Strategies -- Effective solution of ill-posed inverse problems with stabilized forward solver -- Supermodeling - a meta-procedure for data assimilation and parameters estimation -- AI-accelerated CFD simulation based on OpenFOAM and CPU/GPU computing -- An application of a pseudo-parabolic modeling to texture image recognition -- A study on a feedforward neural network to solve partial differential equations in hyperbolic-transport problems -- Agent-based Modeling of Social Phenomena for High Performance Distributed Simulations -- Automated Method for Evaluating Neural Network’s Attention Focus -- Machine Learning Control Design for Elastic Composite Materials -- Optimize Memory Usage in Vector Particle-In-Cell (VPIC) to Break the 10 Trillion Particle Barrier in Plasma Simulations -- Deep learning for prediction of complex geology ahead of drilling -- Biomedical and Bioinformatics Challenges for Computer Science -- Controlling costs in feature selection: information theoretic approach -- How fast vaccination can control the COVID-19 pandemic in Brazil? -- Uncertainty Quantification of Tissue Damage Due to Blood Velocity in Hyperthermia Cancer Treatments -- EEG-based Emotion Recognition – Evaluation Methodology Revisited -- Modeling the electromechanics of a single cardiac myocyte -- Towards Mimetic Membrane Systems in Molecular Dynamics: Characteristics of E. coli Membrane System -- PathMEx: Pathway-based Mutual Exclusivity for Discovering Rare Cancer Driver Mutations -- Serverless Nanopore Basecalling with AWS Lambda -- A Software Pipeline Based on Sentiment Analysis to Analyze Narrative Medicine Texts. |
| Record Nr. | UNISA-996464402803316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Computational Science – ICCS 2021 : 21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part II / / edited by Maciej Paszynski, Dieter Kranzlmüller, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot
| Computational Science – ICCS 2021 : 21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part II / / edited by Maciej Paszynski, Dieter Kranzlmüller, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (XIX, 596 p. 34 illus.) |
| Disciplina | 004 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer science
Artificial intelligence Computer engineering Computer networks Computer vision Theory of Computation Artificial Intelligence Mathematics of Computing Computer Engineering and Networks Computer Vision |
| ISBN | 3-030-77964-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Advances in High-Performance Computational Earth Sciences: Applications and Frameworks -- Large-scale stabilized multi-physics earthquake simulation for digital twin -- On the design of Monte-Carlo particle coagulation solver interface: a CPU/GPU Super-Droplet Method case study with PySDM -- Applications of Computational Methods in Artificial Intelligence and Machine Learning -- A Deep Neural Network Based on Stacked Auto-Encoder and Dataset Stratification in Indoor Localization -- Recurrent Autoencoder with Sequence-Aware Encoding -- A Gist Information Guided Neural Network for Abstractive Summarization -- Quality of Recommendations and Cold-start Problem in Recommender Systems based on Multi-Clusters -- Model of the Cold-start Recommender System Based on the Petri-Markov Nets -- Text-Based Product Matching with Incomplete and Inconsistent Items Descriptions -- Unsupervised Text Style Transfer via An Enhanced Operation Pipeline -- Exemplar Guided Latent Pre-trained Dialogue Generation -- Monte Carlo Winning Tickets -- Interpreting Neural Networks Prediction for a Single Instance via Random Forest Feature Contributions -- A Higher-Order Adaptive Network Model to Simulate Development of and Recovery from PTSD -- Trojan Traffic Detection Based on Meta-learning -- Grasp the Key: Towards Fast and Accurate Host-based Intrusion Detection in Data Centers -- MGEL: A Robust Malware Encrypted Traffic Detection Method Based on Ensemble Learning with Multi-Grained Features -- TS-Bert: Time-series Anomaly Detection via Pre-training Model Bert -- Relation order histograms as a network embedding tool -- Desensitization Due to Overstimulation: A Second-Order Adaptive Network Model -- A modified deep Q-network algorithm applied to the evacuation problem -- Human-like Storyteller: A Hierarchical Network with Gated Memory for Visual Storytelling -- Discriminative Bayesian Filtering for the Semi-Supervised Augmentation of Sequential Observation Data -- TSAX is Trending- MultiEmo: Multilingual, Multilevel, Multidomain Sentiment Analysis Corpus of Consumer Reviews -- Artificial Intelligence and High-Performance Computing for Advanced Simulations -- Outlier removal for isogeometric spectral approximation with the optimally-blended quadratures -- Socio-cognitive Evolution Strategies -- Effective solution of ill-posed inverse problems with stabilized forward solver -- Supermodeling - a meta-procedure for data assimilation and parameters estimation -- AI-accelerated CFD simulation based on OpenFOAM and CPU/GPU computing -- An application of a pseudo-parabolic modeling to texture image recognition -- A study on a feedforward neural network to solve partial differential equations in hyperbolic-transport problems -- Agent-based Modeling of Social Phenomena for High Performance Distributed Simulations -- Automated Method for Evaluating Neural Network’s Attention Focus -- Machine Learning Control Design for Elastic Composite Materials -- Optimize Memory Usage in Vector Particle-In-Cell (VPIC) to Break the 10 Trillion Particle Barrier in Plasma Simulations -- Deep learning for prediction of complex geology ahead of drilling -- Biomedical and Bioinformatics Challenges for Computer Science -- Controlling costs in feature selection: information theoretic approach -- How fast vaccination can control the COVID-19 pandemic in Brazil? -- Uncertainty Quantification of Tissue Damage Due to Blood Velocity in Hyperthermia Cancer Treatments -- EEG-based Emotion Recognition – Evaluation Methodology Revisited -- Modeling the electromechanics of a single cardiac myocyte -- Towards Mimetic Membrane Systems in Molecular Dynamics: Characteristics of E. coli Membrane System -- PathMEx: Pathway-based Mutual Exclusivity for Discovering Rare Cancer Driver Mutations -- Serverless Nanopore Basecalling with AWS Lambda -- A Software Pipeline Based on Sentiment Analysis to Analyze Narrative Medicine Texts. |
| Record Nr. | UNINA-9910483668203321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computational Science – ICCS 2021 : 21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part VI / / edited by Maciej Paszynski, Dieter Kranzlmüller, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot
| Computational Science – ICCS 2021 : 21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part VI / / edited by Maciej Paszynski, Dieter Kranzlmüller, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (XIX, 714 p. 58 illus.) |
| Disciplina | 004 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer science
Computer engineering Computer networks Artificial intelligence Theory of Computation Mathematics of Computing Computer Engineering and Networks Artificial Intelligence |
| ISBN | 3-030-77980-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Quantum Computing Workshop -- Implementing Quantum Finite Automata Algorithms on Noisy Devices -- OnCall Operator Scheduling for Satellites with Grover’s Algorithm -- Multimodal Container Planning: a QUBO Formulation and Implementation on a Quantum Annealer -- Portfolio Optimisation Using the D-Wave Quantum Annealer -- Cross Entropy Optimization of Constrained Problem Hamiltonians for Quantum Annealing -- Classification using a two-qubit quantum chip -- Performance Analysis of Support Vector Machine Implementations on the D-Wave Quantum Annealer -- Adiabatic Quantum Feature Selection for Sparse Linear Regression -- EntDetector: entanglement detecting toolbox for bipartite quantum states -- On Decision Support for Quantum Application Developers: Categorization, Comparison, and Analysis of Existing Technologies -- Quantum Asymmetric Encryption Based on Quantum Point Obfuscation -- Index calculus method for solving elliptic curve discrete logarithm problem using quantum annealing -- Simulations of Flow and Transport: Modeling, Algorithms and Computation -- Multi-phase compressible compositional simulations with phase equilibrium computation in the VTN specification -- A three-level linearized time integration scheme for tumor simulations with Cahn-Hilliard equations -- Poroelasticity Modules for DarcyLite -- Mathematical Modeling of the Single-Phase Multicomponent Flow in Porous Media -- An enhanced finite element algorithm for thermal Darcy flows with variable viscosity -- Multilevel adaptive Lagrange-Galerkin methods for unsteady incompressible viscous flows -- Numerical investigation of transport processes in porous media under laminar, transitional and turbulent flow conditions with the lattice-Boltzmann method -- A Study on a Marine Reservoir and a Fluvial Reservoir History Matching Based on Ensemble Kalman Filter -- Numerical Simulation of Free Surface Affected by Submarine with a Rotating Screw Moving Underwater -- Modeling and Simulation of Atmospheric Water Generation Unit Using Anhydrous Salts -- Smart Systems: Bringing Together Computer Vision, Sensor Networks and Machine Learning -- Improving UWB Indoor Localization Accuracy Using Sparse Fingerprinting and Transfer Learning -- Effective Car Collision Detection with Mobile Phone Only -- Corrosion detection on aircraft fuselage with multi-teacher knowledge distillation -- Warm-Start Meta-Ensembles for Forecasting Energy Consumption in Service Buildings -- Supporting the process of sewer pipes inspection using machine learning on embedded devices -- Explanation-driven model stacking -- Software Engineering for Computational Science -- I/O Associations in Scientific Software: A Study of SWMM -- Understanding Equity, Diversity and Inclusivity Challenges Within the Research Software Community -- Solving Problems with Uncertainty -- The Necessity and Difficulty of Navigating Uncertainty to Develop an Individual-Level Computational Model -- Predicting Soccer Results through Sentiment Analysis: A Graph Theory Approach -- Advantages of interval modification of NURBS curves in modeling uncertain boundary shape in boundary value problems -- Introducing Uncertainty Into Explanaible AI Methods -- New rank-reversal free approach to handle interval data in MCDA problems -- Vector and triangular representations of project estimation uncertainty: effect of gender on usability -- The use of type-2 fuzzy sets to assess delays in the implementation of the daily operation plan for the operating theatre -- Linguistic Summaries using Interval-valued Fuzzy Representation of Imprecise Information - an Innovative Tool for Detecting Outliers -- Combining heterogeneous indicators by adopting Adaptive MCDA: dealing with Uncertainty -- Solutions and Challenges in Computing FBSDEs with Large Jumps for Dam and Reservoir System Operation -- Optimization of Resources Allocation in High Performance Computing under Utilization Uncertainty -- A comparison of the Richardson extrapolation and the approximation error estimation on the ensemble of numerical solutions -- Predicted Distribution Density Estimation for Streaming Data -- LSTM processing of experimental time series with varied quality -- Sampling method for the robust single machine scheduling with uncertain parameters -- Teaching Computational Science -- Biophysical Modeling of Excitable Cells - a new Approach to Undergraduate Computational Biology Curriculum Development -- Increasing the impact of teacher presence in online lectures -- Model-based approach to automated provisioning of collaborative educational services -- A collaborative peer review process for grading coding assignments in coursework -- How Do Teams of Novice Modelers Choose An Approach? An Iterated, Repeated Experiment In A First-Year Modeling Course -- Uncertainty Quantification for Computational Models -- Detection of conditional dependence between multiple variables using multiinformation -- Uncertainty Quantification of Coupled 1D Arterial Blood Flow and 3D Tissue Perfusion Models Using the INSIST Framework -- Second Order Moments of Multivariate Hermite Polynomials. |
| Record Nr. | UNINA-9910483667403321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computational Science – ICCS 2021 : 21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part V / / edited by Maciej Paszynski, Dieter Kranzlmüller, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M.A. Sloot
| Computational Science – ICCS 2021 : 21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part V / / edited by Maciej Paszynski, Dieter Kranzlmüller, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M.A. Sloot |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (XIX, 592 p. 265 illus., 232 illus. in color.) |
| Disciplina | 004 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer science
Artificial intelligence Computer engineering Computer networks Computer vision Theory of Computation Artificial Intelligence Mathematics of Computing Computer Engineering and Networks Computer Vision |
| ISBN | 3-030-77977-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Computer Graphics, Image Processing and Artificial Intelligence -- Factors affecting the sense of scale in immersive, realistic Virtual Reality space -- Capsule Network versus Convolutional Neural Network in Image Classification Comparative Analysis -- State-of-the-art in 3D face reconstruction from a single RGB image -- Towards understanding time varying triangle meshes -- Semantic similarity metric learning for sketch-based 3D shape retrieval -- ScatterPlotAnalyzer: Digitizing Images of Charts Using Tensor-based Computational Model -- EEG-Based Emotion Recognition Using Convolutional Neural Networks -- Improving Deep Object Detection Backbone with Feature Layers -- Procedural Level Generation with Difficulty Level Estimation for Puzzle Games -- ELSA: Euler-Lagrange Skeletal Animations - novel and fast motion model applicable to VR/AR devices -- Composite generalized elliptic curve-based surface reconstruction -- Supporting Driver Physical State Estimation by Means of Thermal Image Processing -- Smart Events in Behavior of Non-player characters in Computer Games -- Place Inference via Graph-based One-class Decisions on Deep Embeddings and Blur Detections -- Football Players Movement Analysis in Panning Videos -- Shape reconstruction from point clouds using closed form solution of a fourth-order partial differential equation -- Data-Driven Computational Sciences -- Addressing Missing Data in a Healthcare Dataset Using an Improved kNN Algorithm -- Improving Wildfire Simulations by Estimation of Wildfire Wind Conditions from Fire Perimeter Measurements -- Scalable Statistical Inference of Photometric Redshift via Data Subsampling -- Timeseries based deep hybrid transfer learning framework: A case of electrical vehicle energy consumption -- Hybrid machine learning for time-series energy data for enhancing energy efficiency in buildings -- I-80 Closures: An Autonomous Machine Learning Approach -- Energy Consumption Prediction for Multi-functional Buildings Using Convolutional Bidirectional Recurrent Neural Networks -- Machine Learning and Data Assimilation for Dynamical Systems -- Deep Learning for Solar Irradiance Nowcasting: A Comparison of a Recurrent Neural Network and Two Traditional Methods -- Automatic-differentiated Physics-Informed Echo State Network (API-ESN) -- A machine learning method for parameter estimation and sensitivity analysis -- Auto-Encoded Reservoir Computing for Turbulence Learning -- Low-dimensional Decompositions for Nonlinear Finite Impulse Response Modeling -- Latent GAN: using a latent space-based GAN for rapid forecasting of CFD models -- Data Assimilation in the Latent Space of a Convolutional Autoencoder -- Higher-order hierarchical spectral clustering for multidimensional data -- Towards data-driven simulation models for building energy management -- Data Assimilation using Heteroscedastic Bayesian Neural Network Ensembles for Reduced-Order Flame Models -- A GPU algorithm for outliers detection in TESS light curves -- Data-driven deep learning emulators for geophysical forecasting -- NVIDIA SimNet: An AI-Accelerated Multi-Physics Simulation Framework -- MeshFree Methods and Radial Basis Functions in Computational Sciences -- Analysis of vortex induced vibration of a thermowell by high fidelity FSI numerical analysis based on RBF structural modes embedding -- Automatic Optimization Method based on mesh morphing surface sculpting driven by Biological Growth Method: an application to the Coiled Spring section shape -- Multiscale Modelling and Simulation -- Verification, Validation and Uncertainty Quantification of large-scale applications with QCG-PilotJob -- Towards a coupled migration and weather simulation: South Sudan conflict -- Evaluating WRF-BEP/BEM performance: on the way to analyze urban air quality at high resolution using WRF-Chem+BEP/BEM -- Pathology dynamics in healthy-toxic protein interaction and the multiscale analysis of neurodegenerative diseases -- A Semi-implicit Backward Differentiation ADI Method for Solving Monodomain Model -- A Deep Learning Approach for Polycrystalline Microstructure-Statistical Property Prediction -- MsFEM upscaling for the coupled thermo-mechanical problem -- MaMiCo: Non-Local Means Filtering with Flexible Data-Flow for Coupling MD and CFD. |
| Record Nr. | UNINA-9910483662703321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computational Science – ICCS 2021 : 21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part IV / / edited by Maciej Paszynski, Dieter Kranzlmüller, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M.A. Sloot
| Computational Science – ICCS 2021 : 21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part IV / / edited by Maciej Paszynski, Dieter Kranzlmüller, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M.A. Sloot |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (XIX, 656 p. 301 illus., 211 illus. in color.) |
| Disciplina | 004 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer science
Artificial intelligence Computer engineering Computer networks Theory of Computation Artificial Intelligence Computer Engineering and Networks Mathematics of Computing |
| ISBN | 3-030-77970-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Computational Methods for Emerging Problems in (dis-)Information Analysis -- The Methods and Approaches of Explainable Artificial Intelligence -- Fake or real? The novel approach to detect online disinformation based on multi ML classifiers -- Transformer Based Models in Fake News Detection -- Towards Model-Agnostic Ensemble Explanations -- Computational Methods in Smart Agriculture -- Bluetooth Low Energy Livestock Positioning for Smart Farming Applications -- Monitoring the Uniformity of Fish Feeding Based on Image Feature Analysis -- A new multi-objective approach to optimize irrigation using a crop simulation model and weather history -- Computational Optimization, Modelling and Simulation -- Expedited Trust-Region-Based Design Closure of Antennas by Variable-Resolution EM Simulations -- Optimum Design of Tuned Mass Dampers for Adjacent Structures via Flower Pollination Algorithm -- On Fast Multi-Objective Optimization of Antenna Structures Using Pareto Front Triangulation and Inverse Surrogates -- Optimizations of a Generic Holographic Projection Model for GPU’s -- Similarity and Conformity Graphs in Lighting Optimization and Assessment -- Pruned simulation-based optimal sailboat path search using micro HPC systems -- Two stage approach to optimize electricity contract capacity problem for commercial customers -- Improved Design Closure of Compact Microwave Circuits by Means of Performance Requirement Adaptation -- Graph-grammar based longest-edge refinement algorithm for three-dimensional optimally p refined meshes with tetrahedral elements -- Elitism in Multiobjective Hierarchical Strategy -- Modelling and forecasting based on recurrent pseudoinverse matrices -- Semi-analytical Monte Carlo optimisation method applied to the inverse Poisson problem -- Modeling the contribution of agriculture towards soil nitrogen surplus in Iowa -- An Attempt to Replace System Dynamics with Discrete Rate Modeling in Demographic Simulations -- New On-Line Algorithms for Modelling, Identification and Simulation of Dynamic Systems Using Modulating Functions and Non-Asymptotic State Estimators: Case Study for a Chosen Physical Process -- Iterative global sensitivity analysis algorithm with neural network surrogate modeling -- Forecasting Electricity Prices: Autoregressive Hybrid Nearest Neighbors (ARHNN) method -- Data-Driven Methods for Weather Forecast -- Generic Case of Leap-Frog Algorithm for Optimal Knots Selection in Fitting Reduced Data -- Intelligent Planning of Logistic Networks to Counteract Uncertainty Propagation -- Modeling traffic forecasts with probability in DWDM optical networks -- Endogenous factors affecting the cost of large-scale geo-stationary satellite systems -- Description of electricity consumption by using leading hours intra-day model -- The problem of tasks scheduling with due dates in a flexible multi-machine production cell -- Discovering the influence of interruptions in cycling training: A data science study -- Analysis of complex partial seizure using non-linear duffing Van der Pol oscillator model -- Computational Science in IoT and Smart Systems -- A Review on Visual Programming for Distributed Computation in IoT -- Data preprocessing, aggregation and clustering for agile manufacturing based on Automated Guided Vehicles -- Comparison of Speech Recognition and Natural Language Understanding Frameworks for Detection of Dangers with Smart Wearables -- A Decision Support System Based on Augmented Reality for the Safe Preparation of Chemotherapy Drugs -- Metagenomic analysis at the edge with Jetson Xavier NX -- Programming IoT-spaces: A User-Survey on Home Automation Rules -- Application of the Ant Colony algorithm for routing in next generation programmable networks -- Scalable Computing System with Two-Level Reconfiguration of Multi-Channel Inter-Node communication -- Real-time Object Detection for Smart Connected Worker in 3D printing -- Object-Oriented Internet - Cloud Interoperability -- Static and Dynamic Comparison of Pozyx and DecaWave UWB Indoor Localization Systems with Possible Improvements -- Challenges associated with sensors and data fusion for AGV-driven smart manufacturing -- Dynamic pricing and discounts by means of interactive presentation systems in stationary point of sales -- Profile-driven synthetic trajectories generation to enhance smart systems solutions -- Augmenting automatic clustering with expert knowledge and explanations -- Renewable energy-aware heuristic algorithms for edge server selection for stream data processing -- Dataset for anomalies detection in 3D printing. |
| Record Nr. | UNINA-9910483668103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
